Gastric cancer remains a highly prevalent malignancy worldwide, with surgical resection currently constituting the cornerstone of treatment aimed at improving long-term patient survival. Owing to their notable advantages, including reduced surgical trauma and accelerated postoperative recovery, minimally invasive procedures are progressively supplanting conventional open surgery and have become the mainstream approach in gastric cancer management. Concurrently, the rapid advancement of artificial intelligence (AI) technologies has enabled real-time intraoperative monitoring of surgical scenes, thereby furnishing novel technical support for adjunctive decision-making, surgical navigation, and skill assessment during gastrectomy. This article provides a systematic review of the current status of AI applications in minimally invasive gastric cancer surgery, with a particular focus on research progress pertaining to instrument recognition, surgical phase identification, delineation of normal anatomical structures, detection of metastatic foci, and early warning of intraoperative adverse events. Furthermore, we discuss the potential value of AI in enhancing surgical efficiency, ensuring patient safety, and optimizing surgical education. On this basis, we further analyze the principal challenges and inherent risks confronting current AI systems, with the aim of informing future technological innovation and facilitating clinical translation.

The Janus kinase/signal transducers and activators of transcription (JAK-STAT) control natural killer (NK) cells development and cytotoxic functions, however, whether long non-coding RNAs (lncRNAs) are involved in this pathway remains unknown. We found that miR155HG was elevated in activated NK cells and promoted their proliferation and effector functions in both NK92 and induced-pluripotent stem cells (iPSCs)-derived NK (iPSC-NK) cells, without reliance on its derived miR-155 and micropeptide P155. Mechanistically, miR155HG bound to miR-6756 and relieved its repression of JAK3 expression, thereby promoting the JAK-STAT pathway and enhancing NK cell proliferation and function. Further investigations disclosed that upon cytokine stimulation, STAT3 directly interacts with miR155HG promoter and induces miR155HG transcription. Collectively, we identify a miR155HG-mediated positive feedback loop of the JAK-STAT signaling. Our study will also provide a power target regarding miR155HG for improving NK cell generation and effector function in the field of NK cell adoptive transfer therapy against cancer, especially iPSC-derived NK cells.

Objective To explore and analyze adverse drug events(ADE)signals of azithromycin,identify common adverse events and suspected adverse reactions that occur easily in the real clinical application of azithromycin.Methods The adverse drug event reports related to azithromycin recorded in the US FDA Adverse Event Reporting System database from October 1,2003,to October 1,2023,were mined using the OpenVigil 2.1 drug surveillance platform.Signal detection and analysis were carried out using the reporting odds ratio(ROR)and Bayesian confidence propagation neural network method(BCPNN).Results A total of 5498 ADE signals were identified,with a total of 112485 reports.Eventually,31,041 azithromycin-associated adverse event reports were extracted,involving 898 positive signals,27 system organ classes,mainly concentrated in respiratory system diseases,infections,gastrointestinal system diseases,and others.Additionally,some adverse reactions possibly caused by azithromycin were discovered,such as asthma,wheezing,and potential reactions like incomplete abortion.Conclusion When using azithromycin,besides paying attention to the adverse reactions listed in the drug instructions,we should also pay attention to some adverse reactions that have not been timely recorded or updated,in order to prevent the medication safety risks caused by outdated instructions,provide reasonable medication advice,and ensure the medication safety of patients.

Objective:To investigate the effects of a novel retrograde tibial nail (RTN) in the treatment of distal tibial fractures.Methods:A retrospective study was conducted in the 11 patients with distal tibial fracture who had been admitted to Department of Traumatic Orthopedics, The Second Affiliated Hospital, Hengyang Medical School from July 2020 to July 2021. There were 5 male and 6 females, aged from 18 to 70 years (average 54.7 years). By the AO/OTA classification, there were 7 extra-articular distal fractures (3 cases of type 43-A1, 3 cases of type 43-A2 and one type 43-A3) and 4 intra-articular fractures (2 cases of type 43-C1 and 2 cases of type 43-C2); by the Gustilo classification, there were 7 closed fractures and 4 open fractures (2 cases of type I and 2 cases of type Ⅱ). All fractures were fixated with a novel RTN. Deformities like distal tibial varus and valgus as well as fracture-related complications were observed after operation while the curative effects evaluated by the ankle-hindfoot score of the American Orthopaedic Foot and Ankle Society (AOFAS).Results:This cohort was followed up for an average of 7.4 months (from 5 to 12 months). All patients obtained clinical union and recovered daily life and work. Radiographic evaluation showed no distal tibial varus or valgus. There were no such complications as postoperative infection, exposure of bone and internal fixation, compartment syndrome, or neurovascular lesion. According to the ankle-hindfoot score of AOFAS, 7 cases were excellent and 4 cases good.Conclusion:This novel retrograde tibial nail may result in good efficacy in the treatment of distal tibial fracture, but its advantages still need further verification.